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[对杭州首例新冠肺炎患者的2019新型冠状病毒(2019-nCoV)毒株的基因组分析]

[Genomic analysis of a 2019-novel coronavirus (2019-nCoV) strain in the first COVID-19 patient found in Hangzhou].

作者信息

Yu H, Wang X C, Li J, Qian X, Yu X F, Sun Z, Chen J F, Kao Q J, Wang H Q, Pan J C

机构信息

Hangzhou Center for Disease Prevention and Control, Health Inspection Center, Hangzhou 310021, China.

出版信息

Zhonghua Yu Fang Yi Xue Za Zhi. 2020 May 6;54(5):486-490. doi: 10.3760/cma.j.cn112150-20200217-00128.

Abstract

To understand the viral genomic characteristics of a 2019-novel coronavirus (2019-nCoV) strain in the first COVID-19 patient found in Hangzhou, China. Viral RNA was extracted in throat swab and sputum sample of the patient and was performed real-time reverse transcription PCR detection and obtained viral genome by high-throughput sequencing method. Phylogenetic analysis was conducted using 29 2019-nCoV genomes and 30 β-coronavirus genomes deposited in NCBI GenBank. Fifteen genomes from Wuhan were grouped by mutation sites and others were identified by Wuhan's or specific mutation sites. A 29 833 bp length genome of the first 2019-nCoV strain in Hangzhou was obtained, covering full length of the coding regions of coronavirus. Phylogenetic analysis showed that the genome was closest to the genome of a bat SARS-like coronavirus strain RaTG13 with an identity of 96.11% (28 666/29 826). Among the genes between two genomes, E genes were highly conserved (99.56%), while S genes had lowest identity (92.87%). The genome sequence similarities among 29 strains from China (Hangzhou, Wuhan, and Shenzhen), Japan, USA, and Finland, were all more than 99.9%; however, some single nucleotide polymorphisms were identified in some strains. The genome of Hangzhou 2019-nCoV strain was very close to the genomes of strains from other cities in China and overseas collected at early epidemic phase. The 2019-nCoV genome sequencing method used in this paper provides an useful tool for monitoring variation of viral genes.

摘要

为了解中国杭州发现的首例新冠肺炎患者所感染的2019新型冠状病毒(2019-nCoV)毒株的病毒基因组特征。从该患者的咽拭子和痰液样本中提取病毒RNA,进行实时逆转录PCR检测,并通过高通量测序方法获得病毒基因组。使用NCBI GenBank中保存的29个2019-nCoV基因组和30个β冠状病毒基因组进行系统发育分析。来自武汉的15个基因组按突变位点分组,其他基因组通过武汉的或特定的突变位点进行鉴定。获得了杭州首例2019-nCoV毒株长度为29 833 bp的基因组,覆盖了冠状病毒编码区的全长。系统发育分析表明,该基因组与蝙蝠SARS样冠状病毒毒株RaTG13的基因组最为接近,同一性为96.11%(28 666/29 826)。在两个基因组之间的基因中,E基因高度保守(99.56%),而S基因的同一性最低(92.87%)。来自中国(杭州、武汉和深圳)、日本、美国和芬兰的29个毒株的基因组序列相似性均超过99.9%;然而,在一些毒株中发现了一些单核苷酸多态性。杭州2019-nCoV毒株的基因组与中国其他城市和海外在疫情早期收集的毒株基因组非常接近。本文采用的2019-nCoV基因组测序方法为监测病毒基因变异提供了有用的工具。

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